İstatistik
75 methods in this family.
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Accelerated Failure Time ModelThe Accelerated Failure Time model is a parametric regression approach to survival analysis — formally reviewed and advocated by L. J. Wei in 1992 — in which covariates act as multAdaptive Competing Risks AnalysisAdaptive competing risks analysis combines the Fine-Gray subdistribution hazard framework — which models the cumulative incidence of one cause of failure in the presence of other mAdaptive Cox Proportional HazardsThe Adaptive Cox Proportional Hazards model extends the classic Cox regression for time-to-event outcomes by adding adaptive LASSO (or related) penalization. It simultaneously estiBayesian Case SeriesBayesian case series is an observational epidemiological method that applies Bayesian inference to case series data — typically records of patients who experienced both a drug or vBayesian Case-Control StudyA Bayesian case-control study applies Bayesian statistical inference to the classic case-control epidemiological design, formally combining prior knowledge about exposure-disease aBayesian Case-Crossover DesignThe Bayesian case-crossover design is a self-matched epidemiological method that estimates the transient effect of a time-varying exposure on the risk of an acute event. Each case
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This topic's most-referenced foundational methods, in the order they were developed — a place to start if you're new here.
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Accelerated Failure Time ModelAdaptive Competing Risks AnalysisAdaptive Cox Proportional HazardsBayesian Case SeriesBayesian Case-Control StudyBayesian Case-Crossover DesignBayesian Cohort StudyBayesian Competing Risks AnalysisBayesian Cox Proportional HazardsBayesian Diagnostic Accuracy StudyBayesian Dose-Response AnalysisBayesian Ecological StudyBayesian Kaplan-Meier analysisBayesian nested case-controlBayesian Phase I clinical trialBayesian Phase II Clinical TrialBayesian Phase III Clinical TrialBayesian Phase IV studyBayesian Randomized Clinical TrialBayesian Screening Test EvaluationBioequivalence AnalysisCambridge Depersonalisation ScaleCATClinical Frailty ScaleCommon Factors QuestionnaireCompeting Risks AnalysisCox proportional hazardsCox RegressionDeepHitDeepSurvEcological StudyEmax ModelFrailty ModelHIT-6In Vitro-In Vivo CorrelationJoint Model for Longitudinal and Survival DataKaplan-MeierKaplan-Meier AnalysisLandmark AnalysisLog-Rank TestMatched Competing Risks AnalysisMatched Cox Proportional HazardsMatched Kaplan-Meier AnalysisMatched Survival AnalysisMeta-analytic competing risks analysisMeta-analytic Cox proportional hazardsMeta-analytic Kaplan-Meier analysisMeta-analytic Phase I clinical trialMini-BESTest Balance EvaluationMixture Cure ModelMontreal Cognitive AssessmentMulti-State ModelMulticenter Competing Risks AnalysisMulticenter Cox proportional hazardsMulticenter Kaplan-Meier analysisNelson-Aalen EstimatorPopulation PharmacokineticsPragmatic Kaplan-Meier analysisProspective Competing Risks AnalysisProspective Cox proportional hazardsRandom Survival ForestRecurrent Event ModelRetrospective Case ReportRetrospective competing risks analysisRetrospective Cox proportional hazardsRetrospective Ecological StudyRetrospective Kaplan-Meier AnalysisRisk-adjusted competing risks analysisRisk-adjusted Cox Proportional HazardsRisk-adjusted Kaplan-Meier analysisRisk-adjusted survival analysisRoyston-Parmar ModelTherapeutic Drug MonitoringTime-Dependent Cox RegressionWeibull Regression